Open source software is software whose source code is available for anyone to inspect, modify, and redistribute under a licence. The model encourages collaboration and reuse across a broad developer community. In practice, organisations still need governance, security review, and lifecycle management before using it in production.
Expanded Definition
Open source software is not just a licence category. In security and NHI operations, it also defines a distribution model where source code can be reviewed, forked, repackaged, and embedded into build pipelines, runtime images, and automation workflows. That openness creates advantages for transparency and reuse, but it also means organisations inherit upstream risk from maintainers, dependencies, and release processes.
For NHI Management Group, the key distinction is governance. A package may be open source and still be unsuitable for production if it introduces unvetted dependencies, hard-coded secrets, weak signing practices, or unclear maintainer control. This is why open source must be evaluated alongside provenance, patch velocity, and identity boundaries rather than treated as inherently safer. Guidance varies across vendors on how much trust to place in community review, so security teams should define their own acceptance criteria.
The most common misapplication is assuming “open source” equals “trusted by default,” which occurs when teams approve code on licence alone and skip provenance and operational review.
Examples and Use Cases
Implementing open source software rigorously often introduces supply chain scrutiny and maintenance overhead, requiring organisations to weigh flexibility and transparency against review cost and lifecycle responsibility.
- A platform team adopts a popular library after checking maintainers, release cadence, and dependency tree, rather than approving it solely because the code is public.
- Security engineers investigate a package compromise such as the PyPI Breach to understand how compromised publishing access can affect downstream consumers.
- Application owners review a supply chain incident like the Nx Package Attack — 2,300+ Credentials Leaked to see how trusted open source tooling can become a credential exposure path.
- DevSecOps teams compare package risk against NIST guidance in the NIST Cybersecurity Framework 2.0, especially where asset inventory and supplier risk controls apply.
- Engineers harden build systems before consuming open source code that interacts with secrets, signing keys, or deployment automation, because transitive dependencies can widen the blast radius.
Open source is also central to modern AI and automation stacks, which means a single compromised dependency can affect code execution, CI/CD pipelines, and NHI-bearing service accounts at once.
Why It Matters in NHI Security
Open source software matters in NHI security because it often sits directly in the path of credentials, tokens, API keys, and automation identities. If a dependency can read environment variables, invoke deployment tools, or reach a secrets manager, then a software supply chain issue can become an identity compromise. NHI Mgmt Group research shows that 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, which makes open source components a frequent exposure point rather than a theoretical risk.
Incidents involving LiteLLM PyPI package breach and SpotBugs Token GitHub Supply Chain Attack show how compromised distribution channels can turn ordinary package consumption into credential theft and privileged access abuse. This is why open source governance must include dependency allowlisting, signature verification, secret scanning, and offboarding procedures for build-time identities. Organisations typically encounter the full operational cost of open source only after a dependency is compromised or a package maintainer account is abused, at which point the term becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207), NIST AI RMF and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Open source supply chains can expose NHI credentials through untrusted dependencies. |
| NIST CSF 2.0 | ID.SB-3 | Supplier and dependency risk management applies directly to open source use. |
| NIST Zero Trust (SP 800-207) | PR.AC | Zero Trust limits the impact of compromised software and automation identities. |
| NIST AI RMF | GV-1.2 | Open source AI and automation components need governance, testing, and accountability. |
| NIST SP 800-63 | IAL2 | Identity assurance principles inform how strongly software and maintainers are trusted. |
Require strong verification for maintainer access and signing workflows tied to release identity.
Related resources from NHI Mgmt Group
- Why do transitive dependencies create unexpected open-source license risk in modern software?
- Why do open source dependencies complicate secure software delivery?
- How should security teams account for generative AI when evaluating open source software and code generation workflows?
- Why does a software bill of materials matter when organisations rely on third-party code and open source libraries?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 31, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
